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Primis Protocol
160 posts
Primis Protocol
@primisprotocol
The pricing layer for compute
Metaverse Beigetreten Şubat 2024
3 Folgt13.3K Follower
Primis Protocol retweetet
Why do you need a market for compute?
@khouuba describes how a stable market with predictable prices gives builders the ability to scale their operations.
He believes $PRIMIS will unlock scalability for AI agents and products.
MCG@MCGlive
Notes from $PRIMIS segment w/@primisprotocol & @khouuba on @MCGlive 👇 @BagsApp Founder background: • Self-taught dev building Primis for ~3 years • Previously launched $BULLY, which went viral with 210M+ views and reached $260M ATH. Lots of learnings, feedback from Dolion covered during this segment. Product thesis: • Primis = pricing layer for compute • Routes AI workloads to the cheapest compute providers → acting as a marketplace for compute Market dynamics: • Compute prices driven by hyperscaler supply + exploding AI demand (labs, startups, agents) • PRIMIS vaults use SOL staking yield (~4%) to help stabilize compute pricing risk Early traction: • $324K ARR from 1-click deployed agents on Primis • 100K signups from earlier Dolion waitlist • Currently closed beta → broader beta opening in a few weeks Token mechanics: • Fees from the ecosystem help buy back token / support LP • Team exploring a deeper ownership model tied to the network.
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Primis Protocol retweetet
What if you can earn a boosted yield on your SOL?
In his recent interview, @khouuba explains the 3 core components of $PRIMIS, how the revenue can drive boosted yield boost stakers, and how this benefits builders.
$PRIMIS
MCG@MCGlive
Notes from $PRIMIS segment w/@primisprotocol & @khouuba on @MCGlive 👇 @BagsApp Founder background: • Self-taught dev building Primis for ~3 years • Previously launched $BULLY, which went viral with 210M+ views and reached $260M ATH. Lots of learnings, feedback from Dolion covered during this segment. Product thesis: • Primis = pricing layer for compute • Routes AI workloads to the cheapest compute providers → acting as a marketplace for compute Market dynamics: • Compute prices driven by hyperscaler supply + exploding AI demand (labs, startups, agents) • PRIMIS vaults use SOL staking yield (~4%) to help stabilize compute pricing risk Early traction: • $324K ARR from 1-click deployed agents on Primis • 100K signups from earlier Dolion waitlist • Currently closed beta → broader beta opening in a few weeks Token mechanics: • Fees from the ecosystem help buy back token / support LP • Team exploring a deeper ownership model tied to the network.
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Primis Protocol retweetet
The @primisprotocol one-click deploy agents are generating almost $325,000 in ARR.
@khouuba discusses this and another major development in the works. ⬇️
MCG@MCGlive
Notes from $PRIMIS segment w/@primisprotocol & @khouuba on @MCGlive 👇 @BagsApp Founder background: • Self-taught dev building Primis for ~3 years • Previously launched $BULLY, which went viral with 210M+ views and reached $260M ATH. Lots of learnings, feedback from Dolion covered during this segment. Product thesis: • Primis = pricing layer for compute • Routes AI workloads to the cheapest compute providers → acting as a marketplace for compute Market dynamics: • Compute prices driven by hyperscaler supply + exploding AI demand (labs, startups, agents) • PRIMIS vaults use SOL staking yield (~4%) to help stabilize compute pricing risk Early traction: • $324K ARR from 1-click deployed agents on Primis • 100K signups from earlier Dolion waitlist • Currently closed beta → broader beta opening in a few weeks Token mechanics: • Fees from the ecosystem help buy back token / support LP • Team exploring a deeper ownership model tied to the network.
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Primis Protocol retweetet
for those that want to know more about how deep the lore runs and to understand @primisprotocol more. check my podcast with the great people over @MCGlive
MCG@MCGlive
Notes from $PRIMIS segment w/@primisprotocol & @khouuba on @MCGlive 👇 @BagsApp Founder background: • Self-taught dev building Primis for ~3 years • Previously launched $BULLY, which went viral with 210M+ views and reached $260M ATH. Lots of learnings, feedback from Dolion covered during this segment. Product thesis: • Primis = pricing layer for compute • Routes AI workloads to the cheapest compute providers → acting as a marketplace for compute Market dynamics: • Compute prices driven by hyperscaler supply + exploding AI demand (labs, startups, agents) • PRIMIS vaults use SOL staking yield (~4%) to help stabilize compute pricing risk Early traction: • $324K ARR from 1-click deployed agents on Primis • 100K signups from earlier Dolion waitlist • Currently closed beta → broader beta opening in a few weeks Token mechanics: • Fees from the ecosystem help buy back token / support LP • Team exploring a deeper ownership model tied to the network.
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Primis Protocol retweetet
Primis Protocol retweetet
BREAKING: $PRIMIS founder @khouuba breaks down the tokenomics for @primisprotocol live on @MCGlive 👏
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Primis Protocol retweetet
everyday i wake up and more people are validating the @primisprotocol thesis.
if agents drive exponential compute demand, gpu markets will become massively volatile and fragmented.
and the need for predictable billing becomes even more vital.
that’s exactly the layer primis is building.
the pricing layer for compute.
David Mattin@DMattin
Everyone keeps saying: 'AI compute will get cheaper, so companies will just use more of it. Revenues won't collapse.' They're right, but it goes much further than that. The standard Jevons Paradox says: make a resource more efficient, and humans consume more of it. Coal engines got better. We burned even more coal. But here's what's different this time: Humans won't be the main consumers of compute. AI agents will. And AI agents aren't constrained by time, biology, or budget the way humans are. There could be billions of them. Trillions. So you get a recursive loop: Agents consume compute → compute gets cheaper → agents consume even more → compute gets cheaper still. No human psychology to slow it down. No biological limit. No weekend. The curve doesn't just steepen. It has nowhere to go but vertical. We have no framework for what comes next.
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Primis Mode
Khouba@khouuba
as i said some time ago : no more “soon we will do x, y and z” posts, instead only “we just shipped this, we just hit this milestone” posts so when i’m not on x, just know we’re working hard. that being said, get ready for this week many things happening for @primisprotocol primis mode
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Primis Protocol retweetet
> making primis agents the best they can be is only step 1 of our vision and roadmap.
> our goal with our web app (and soon mobile app) is to win on distribution and prove our underlying thesis
> next stop is the pricing layer for compute open for everyone
primis mode
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Primis Protocol retweetet
everyone is racing to build better models.
bigger. faster. smarter.
but models sit on top of something fragile:
massive, long-term compute commitments.
@DarioAmodei explained it clearly:
if you commit to buying $5t worth of compute
because you project a $1t revenue run rate…
and you land at $800b instead, you don’t “slow down.” you go bankrupt.
that’s the asymmetry.
compute is committed upfront. revenue is probabilistic.
that gap is the real bottleneck.
it’s not about GPUs.
it’s about balance sheet exposure.
this is the structural risk companies like @OpenAI @AnthropicAI and more are navigating.
and this is exactly the layer @primisprotocol is abstracting.
separating compute consumption from price and capital risk.
so builders scale on demand curves, not on debt curves.
models innovate.
capital underwrites volatility.
infrastructure becomes predictable.
that’s the trillion-dollar abstraction layer.
English
The next trillion-dollar layer in ai won’t be another model.
It’ll be abstraction.
Primis Mode
Khouba@khouuba
everyone is racing to build better models. bigger. faster. smarter. but models sit on top of something fragile: massive, long-term compute commitments. @DarioAmodei explained it clearly: if you commit to buying $5t worth of compute because you project a $1t revenue run rate… and you land at $800b instead, you don’t “slow down.” you go bankrupt. that’s the asymmetry. compute is committed upfront. revenue is probabilistic. that gap is the real bottleneck. it’s not about GPUs. it’s about balance sheet exposure. this is the structural risk companies like @OpenAI @AnthropicAI and more are navigating. and this is exactly the layer @primisprotocol is abstracting. separating compute consumption from price and capital risk. so builders scale on demand curves, not on debt curves. models innovate. capital underwrites volatility. infrastructure becomes predictable. that’s the trillion-dollar abstraction layer.
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And it’s only the primis
Khouba@khouuba
for those new to @primisprotocol, here’s what we’ve done until now : > building the pricing layer for compute. > launched a 1 click deploy 🦞 agents web app > beta for our capital providers > closed beta for the compute side > hit +$320k arr + 900 agents in less than a month > released the tokenomics for $PRIMIS > bought back 3.332% of the supply (~$20k) > launched a $PRIMIS treasury with an additional 2.89% of the supply > redirect 20% of our fees to the liquidity pools with @LiquidityApp
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Primis Protocol retweetet
yeah so it’s not like a gpu marketplace or a cloud or whatever. it doesn’t even sell compute it just kinda separates the usage from the price risk and stuff. so like the volatility goes to capital instead of builders. and capital earns yield underwriting stability or whatever. and when agents hit like $2m arr and $10m volume of compute is processed, the net profits start flowing to $PRIMIS automatically.
so yeah idk seems kinda obvious
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Read our plan for the $100,000 challenge from @BagsApp
Community first
Khouba@khouuba
our first plan for when we win the $100,000 is to allocation towards community incentives and rewards. we will be using $30,000 for that immediately. our proposals : > buy back and lock $30,000 worth of $PRIMIS > buy back $15,000 worth of $PRIMIS and add it to liquidity pools ($15,000 $PRIMIS + $15,000 $SOL) > airdrop $30,000 to holders this is our initial proposals. more incentives and rewards will be planned later on. which one of these proposals would you like us to implement, or if you have another idea let us know? primis mode
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